You'll join our core 3D AI team: researchers and engineers working across the entire 3D stack: from raw data capture and geometric reconstruction to neural rendering and generative material synthesis. The team bridges academic rigor and production reality, moving fast without losing depth. Collaboration is close, hierarchy is flat, and the problems are genuinely hard.

Massimizzi le sue possibilità di successo assicurandosi che il suo CV e le sue competenze corrispondano ai requisiti di questa posizione.

What This Role Could Look Like
This is an open call for talented people working in 3D; whether your background is in computer vision, rendering, or machine learning. We're not hiring for a fixed spec; we're looking for people who are excellent in at least one of these areas and curious about the others.

Depending on your background and interests, you could be working on:

3D Computer Vision & Reconstruction

Building the geometric backbone of our scanning pipeline: multi-camera calibration, feature-based reconstruction, structure-from-motion, and high-precision mesh optimization. Integrating learned components where they outperform classical methods.

Inverse Rendering

Developing learning-based systems that recover geometry and physically-based materials from captured imagery—NeRF variants, Gaussian splatting, differentiable rendering, material decomposition, and relighting pipelines.

Neural Rendering & Material Systems

Designing BRDF models and material representations, building diffusion-based rendering pipelines, and developing intrinsic decomposition models that separate albedo, shading, and material properties from real-world captures.

Fields of Work





Multi-camera calibration, SfM, bundle adjustment, mesh processing

Inverse rendering: material and geometry estimation from images

Differentiable rendering and appearance decomposition

Generative 3D reconstruction: diffusion-based approaches, feed-forward networks

BRDF modeling and physically-based material synthesis

Integration of classical and learned components into production pipelines

Qualifications

Master's or PhD in Computer Science, Computer Vision, Computer Graphics, Robotics, or a related field

3+ years of hands‑on experience in at least one of the areas described above

Solid understanding of either multi-view geometry, physically-based rendering, or generative models applied to 3D (diffusion, latent representations)

Ability to move between research and production, prototyping fast and shipping clean code

Strong programming skills xysqume in Python and/or C++

Nice to Have

Experience with differentiable rendering frameworks (Mitsuba 3, nvdiffrast, PyTorch3D)

CUDA or GPU-accelerated geometry/rendering pipelines

Familiarity with structured light systems, photogrammetry, or appearance capture

Published research or open-source contributions in 3D vision, graphics, or ML

Experience with USD/MaterialX, Unreal, or real-time rendering pipelines

Benefits

Competitive salary and stock options

Visa sponsorship and relocation support

Flexible working hours and remote work policy

Participation in SIGGRAPH, CVPR, and global AI conferences

Lunch vouchers, coffee bar and gym access (Durst AG campus)

A research environment with real production impact and world-class clients

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📌 3D Machine Learning Engineer (f/m/d) (Roma)
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